Matches in SemOpenAlex for { <https://semopenalex.org/work/W2657003887> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2657003887 abstract "In clinical practice, a misdiagnosis can lead to incorrect or delayed treatment, and in some cases, no treatment at all; consequently, the condition of a patient may worsen to varying degrees, in some cases proving fatal. The accurate 3D reconstruction of organs, which is a pioneering tool of medical image computing (MIC) technology, plays a key role in computer aided diagnosis (CADx), thereby enabling medical professionals to perform enhanced analysis on a region of interest. From here, the shape and structure of the organ coupled with measurements of its volume and curvature can provide significant guidance towards establishing the severity of a disorder or abnormality, consequently supporting improved diagnosis and treatment planning. Moreover, the classification and stratification of organ abnormalities is widely utilised within biomedical, forensic and MIC research for exploring and investigating organ deformations following injury, illness or trauma. This paper presents a tool that calculates, classifies and analyses pancreatic volume and curvature following their 3D reconstruction. Magnetic resonance imaging (MRI) volumes of 115 adult patients are evaluated in order to examine a correlation between these two variables. Such a tool can be utilised in the scope of much greater research and investigation. It can also be incorporated into the development of effective medical image analysis software application in the stratification of subjects and targeting of therapies." @default.
- W2657003887 created "2017-06-30" @default.
- W2657003887 creator A5040657540 @default.
- W2657003887 creator A5057380504 @default.
- W2657003887 creator A5059017803 @default.
- W2657003887 creator A5067497811 @default.
- W2657003887 creator A5076908401 @default.
- W2657003887 date "2017-06-01" @default.
- W2657003887 modified "2023-10-03" @default.
- W2657003887 title "A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities" @default.
- W2657003887 cites W1766478691 @default.
- W2657003887 cites W1971217738 @default.
- W2657003887 cites W2011613218 @default.
- W2657003887 cites W2013955145 @default.
- W2657003887 cites W2032675248 @default.
- W2657003887 cites W2069253862 @default.
- W2657003887 cites W2119926259 @default.
- W2657003887 cites W2120364003 @default.
- W2657003887 cites W2122563261 @default.
- W2657003887 cites W2163561265 @default.
- W2657003887 cites W2332296740 @default.
- W2657003887 cites W4233857083 @default.
- W2657003887 cites W4240013268 @default.
- W2657003887 cites W4243697203 @default.
- W2657003887 doi "https://doi.org/10.1109/cbms.2017.49" @default.
- W2657003887 hasPublicationYear "2017" @default.
- W2657003887 type Work @default.
- W2657003887 sameAs 2657003887 @default.
- W2657003887 citedByCount "5" @default.
- W2657003887 countsByYear W26570038872018 @default.
- W2657003887 countsByYear W26570038872020 @default.
- W2657003887 countsByYear W26570038872022 @default.
- W2657003887 crossrefType "proceedings-article" @default.
- W2657003887 hasAuthorship W2657003887A5040657540 @default.
- W2657003887 hasAuthorship W2657003887A5057380504 @default.
- W2657003887 hasAuthorship W2657003887A5059017803 @default.
- W2657003887 hasAuthorship W2657003887A5067497811 @default.
- W2657003887 hasAuthorship W2657003887A5076908401 @default.
- W2657003887 hasBestOaLocation W26570038872 @default.
- W2657003887 hasConcept C138885662 @default.
- W2657003887 hasConcept C153180895 @default.
- W2657003887 hasConcept C154945302 @default.
- W2657003887 hasConcept C2776401178 @default.
- W2657003887 hasConcept C31972630 @default.
- W2657003887 hasConcept C41008148 @default.
- W2657003887 hasConcept C41895202 @default.
- W2657003887 hasConcept C52622490 @default.
- W2657003887 hasConceptScore W2657003887C138885662 @default.
- W2657003887 hasConceptScore W2657003887C153180895 @default.
- W2657003887 hasConceptScore W2657003887C154945302 @default.
- W2657003887 hasConceptScore W2657003887C2776401178 @default.
- W2657003887 hasConceptScore W2657003887C31972630 @default.
- W2657003887 hasConceptScore W2657003887C41008148 @default.
- W2657003887 hasConceptScore W2657003887C41895202 @default.
- W2657003887 hasConceptScore W2657003887C52622490 @default.
- W2657003887 hasLocation W26570038871 @default.
- W2657003887 hasLocation W26570038872 @default.
- W2657003887 hasLocation W26570038873 @default.
- W2657003887 hasOpenAccess W2657003887 @default.
- W2657003887 hasPrimaryLocation W26570038871 @default.
- W2657003887 hasRelatedWork W1504288058 @default.
- W2657003887 hasRelatedWork W2016461833 @default.
- W2657003887 hasRelatedWork W2048505601 @default.
- W2657003887 hasRelatedWork W2102575890 @default.
- W2657003887 hasRelatedWork W2167293474 @default.
- W2657003887 hasRelatedWork W2331674254 @default.
- W2657003887 hasRelatedWork W2534909612 @default.
- W2657003887 hasRelatedWork W2811390910 @default.
- W2657003887 hasRelatedWork W3042897387 @default.
- W2657003887 hasRelatedWork W3197541072 @default.
- W2657003887 isParatext "false" @default.
- W2657003887 isRetracted "false" @default.
- W2657003887 magId "2657003887" @default.
- W2657003887 workType "article" @default.